Automatic Events Recognition in Low SNR Microseismic Signals of Coal Mine Based on Wavelet Scattering Transform and SVM

Automatic Events Recognition in Low SNR Microseismic Signals of Coal Mine Based on Wavelet Scattering Transform and SVM

The technology of microseismic monitoring, the first step of which is event recognition, provides an effective method for giving early warning of dynamic disasters in coal mines, especially mining water hazards, while signals with a low signal-to-noise ratio (SNR) usually cannot be recognized effect...

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Bibliographic Details
Main Authors: Xin Fan, Jianyuan Cheng, Yunhong Wang, Sheng Li, Bin Yan, Qingqing Zhang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
mining water hazard
microseismic monitoring
intelligent recognition
feature extraction
support vector machine
classification model
Online Access:https://www.mdpi.com/1996-1073/15/7/2326

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